Relax! Flux is the ML library that doesn't make you tensor

In-memory tabular data in Julia

21st century AD

CUDA programming in Julia.

A Julia package for probability distributions and associated functions.

Forward Mode Automatic Differentiation for Julia

Statically sized arrays for Julia

Progress meter for long-running computations

Julia implementation of Data structures

Formatted output of timed sections in Julia

Basic statistics for Julia

HDF5-compatible file format in pure Julia

Forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

Print data in formatted tables.

Julia functional programming infrastructures and metaprogramming facilities

Heterogeneous programming in Julia

Special mathematical functions in Julia

Computer vision models for Flux

Efficient implementation of struct arrays in Julia

Reusable array functionality for Julia's various GPU backends.

MacroTools provides a library of tools for working with Julia code and expressions.

An interface for tables in Julia

Adaptive 1d numerical Gauss–Kronrod integration in Julia

AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any particular AD system.

Mathematical functions related to statistics.

Main Package for IO, loading all different kind of files

Convenient input and display of LaTeX equation strings for the Julia language

Color manipulation utilities for Julia

Reduce time-to-first-execution of Julia code

Neural Network primitives with multiple backends

Lazy code loading for Julia

Julia package for lazily representing matrices filled with a single entry

Update immutable data

Update deeply nested immutable structs.

Julia macro for re-exporting one module from another

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Reusable compiler infrastructure for Julia GPU backends.

Simple Traits for Julia

Colored and styled strings for terminals.

Compatibility across Julia versions